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This is a list of the instructions that make up the Java bytecode, an abstract machine language that is ultimately executed by the Java virtual machine. [1] The Java bytecode is generated from languages running on the Java Platform, most notably the Java programming language.
In computer science, the fetch-and-add (FAA) CPU instruction atomically increments the contents of a memory location by a specified value. That is, fetch-and-add performs the following operation: increment the value at address x by a , where x is a memory location and a is some value, and return the original value at x .
CPU Sim - Java-based program that allows the user to design and create an instruction set and then run programs of instructions from the set through simulation; Gpsim - PIC microcontroller simulator; INTERP/8 - Intel 8008 and INTERP/80 for Intel 8080. Little man computer - simple Java-based example of an instruction set simulator
For example, a one-instruction set computer (OISC) machine that uses only the subtract-and-branch-if-negative "instruction" cannot do an indirect copy (something like the equivalent of "*a = **b" in the C language) without using self-modifying code. Booting. Early microcomputers often used self-modifying code in their bootloaders.
Nutshell description of a RASP: The RASP is a universal Turing machine (UTM) built on a random-access machine RAM chassis.. The reader will remember that the UTM is a Turing machine with a "universal" finite-state table of instructions that can interpret any well-formed "program" written on the tape as a string of Turing 5-tuples, hence its universality.
In computer science, read–modify–write is a class of atomic operations (such as test-and-set, fetch-and-add, and compare-and-swap) that both read a memory location and write a new value into it simultaneously, either with a completely new value or some function of the previous value.
Gather/scatter is a type of memory addressing that at once collects (gathers) from, or stores (scatters) data to, multiple, arbitrary indices. Examples of its use include sparse linear algebra operations, [1] sorting algorithms, fast Fourier transforms, [2] and some computational graph theory problems. [3]
Memory ordering is the order of accesses to computer memory by a CPU.Memory ordering depends on both the order of the instructions generated by the compiler at compile time and the execution order of the CPU at runtime.